{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [
    "# 获取数据"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "source": [
    "import pandas_datareader as pdr\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import os"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "source": [
    "df = pdr.get_data_tiingo('601398', start='2020-01-01', end='2021-08-11', api_key=os.getenv('TIINGO_API_KEY'))"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "source": [
    "df"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                                  close  high   low  open     volume  \\\n",
       "symbol date                                                            \n",
       "601398 2020-01-01 00:00:00+00:00   5.88  5.88  5.88  5.88          0   \n",
       "       2020-01-02 00:00:00+00:00   5.97  6.03  5.91  5.92  234949400   \n",
       "       2020-01-03 00:00:00+00:00   5.99  6.02  5.96  5.97  152213050   \n",
       "       2020-01-06 00:00:00+00:00   5.97  6.05  5.95  5.96  226509710   \n",
       "       2020-01-07 00:00:00+00:00   6.01  6.04  5.98  5.98  116804350   \n",
       "...                                 ...   ...   ...   ...        ...   \n",
       "       2021-08-05 00:00:00+00:00   4.54  4.57  4.53  4.55  109747160   \n",
       "       2021-08-06 00:00:00+00:00   4.53  4.55  4.51  4.55  158732840   \n",
       "       2021-08-09 00:00:00+00:00   4.55  4.57  4.51  4.52  192560060   \n",
       "       2021-08-10 00:00:00+00:00   4.56  4.57  4.52  4.55  177389100   \n",
       "       2021-08-11 00:00:00+00:00   4.65  4.66  4.57  4.57  330727250   \n",
       "\n",
       "                                  adjClose   adjHigh    adjLow   adjOpen  \\\n",
       "symbol date                                                                \n",
       "601398 2020-01-01 00:00:00+00:00  5.299197  5.299197  5.299197  5.299197   \n",
       "       2020-01-02 00:00:00+00:00  5.380307  5.434381  5.326234  5.335246   \n",
       "       2020-01-03 00:00:00+00:00  5.398332  5.425369  5.371295  5.380307   \n",
       "       2020-01-06 00:00:00+00:00  5.380307  5.452405  5.362283  5.371295   \n",
       "       2020-01-07 00:00:00+00:00  5.416356  5.443393  5.389320  5.389320   \n",
       "...                                    ...       ...       ...       ...   \n",
       "       2021-08-05 00:00:00+00:00  4.540000  4.570000  4.530000  4.550000   \n",
       "       2021-08-06 00:00:00+00:00  4.530000  4.550000  4.510000  4.550000   \n",
       "       2021-08-09 00:00:00+00:00  4.550000  4.570000  4.510000  4.520000   \n",
       "       2021-08-10 00:00:00+00:00  4.560000  4.570000  4.520000  4.550000   \n",
       "       2021-08-11 00:00:00+00:00  4.650000  4.660000  4.570000  4.570000   \n",
       "\n",
       "                                  adjVolume  divCash  splitFactor  \n",
       "symbol date                                                        \n",
       "601398 2020-01-01 00:00:00+00:00          0      0.0          1.0  \n",
       "       2020-01-02 00:00:00+00:00  234949400      0.0          1.0  \n",
       "       2020-01-03 00:00:00+00:00  152213050      0.0          1.0  \n",
       "       2020-01-06 00:00:00+00:00  226509710      0.0          1.0  \n",
       "       2020-01-07 00:00:00+00:00  116804350      0.0          1.0  \n",
       "...                                     ...      ...          ...  \n",
       "       2021-08-05 00:00:00+00:00  109747160      0.0          1.0  \n",
       "       2021-08-06 00:00:00+00:00  158732840      0.0          1.0  \n",
       "       2021-08-09 00:00:00+00:00  192560060      0.0          1.0  \n",
       "       2021-08-10 00:00:00+00:00  177389100      0.0          1.0  \n",
       "       2021-08-11 00:00:00+00:00  330727250      0.0          1.0  \n",
       "\n",
       "[420 rows x 12 columns]"
      ],
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>volume</th>\n",
       "      <th>adjClose</th>\n",
       "      <th>adjHigh</th>\n",
       "      <th>adjLow</th>\n",
       "      <th>adjOpen</th>\n",
       "      <th>adjVolume</th>\n",
       "      <th>divCash</th>\n",
       "      <th>splitFactor</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>symbol</th>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"11\" valign=\"top\">601398</th>\n",
       "      <th>2020-01-01 00:00:00+00:00</th>\n",
       "      <td>5.88</td>\n",
       "      <td>5.88</td>\n",
       "      <td>5.88</td>\n",
       "      <td>5.88</td>\n",
       "      <td>0</td>\n",
       "      <td>5.299197</td>\n",
       "      <td>5.299197</td>\n",
       "      <td>5.299197</td>\n",
       "      <td>5.299197</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-02 00:00:00+00:00</th>\n",
       "      <td>5.97</td>\n",
       "      <td>6.03</td>\n",
       "      <td>5.91</td>\n",
       "      <td>5.92</td>\n",
       "      <td>234949400</td>\n",
       "      <td>5.380307</td>\n",
       "      <td>5.434381</td>\n",
       "      <td>5.326234</td>\n",
       "      <td>5.335246</td>\n",
       "      <td>234949400</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03 00:00:00+00:00</th>\n",
       "      <td>5.99</td>\n",
       "      <td>6.02</td>\n",
       "      <td>5.96</td>\n",
       "      <td>5.97</td>\n",
       "      <td>152213050</td>\n",
       "      <td>5.398332</td>\n",
       "      <td>5.425369</td>\n",
       "      <td>5.371295</td>\n",
       "      <td>5.380307</td>\n",
       "      <td>152213050</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-06 00:00:00+00:00</th>\n",
       "      <td>5.97</td>\n",
       "      <td>6.05</td>\n",
       "      <td>5.95</td>\n",
       "      <td>5.96</td>\n",
       "      <td>226509710</td>\n",
       "      <td>5.380307</td>\n",
       "      <td>5.452405</td>\n",
       "      <td>5.362283</td>\n",
       "      <td>5.371295</td>\n",
       "      <td>226509710</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-07 00:00:00+00:00</th>\n",
       "      <td>6.01</td>\n",
       "      <td>6.04</td>\n",
       "      <td>5.98</td>\n",
       "      <td>5.98</td>\n",
       "      <td>116804350</td>\n",
       "      <td>5.416356</td>\n",
       "      <td>5.443393</td>\n",
       "      <td>5.389320</td>\n",
       "      <td>5.389320</td>\n",
       "      <td>116804350</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05 00:00:00+00:00</th>\n",
       "      <td>4.54</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.53</td>\n",
       "      <td>4.55</td>\n",
       "      <td>109747160</td>\n",
       "      <td>4.540000</td>\n",
       "      <td>4.570000</td>\n",
       "      <td>4.530000</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>109747160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-06 00:00:00+00:00</th>\n",
       "      <td>4.53</td>\n",
       "      <td>4.55</td>\n",
       "      <td>4.51</td>\n",
       "      <td>4.55</td>\n",
       "      <td>158732840</td>\n",
       "      <td>4.530000</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>4.510000</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>158732840</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-09 00:00:00+00:00</th>\n",
       "      <td>4.55</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.51</td>\n",
       "      <td>4.52</td>\n",
       "      <td>192560060</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>4.570000</td>\n",
       "      <td>4.510000</td>\n",
       "      <td>4.520000</td>\n",
       "      <td>192560060</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-10 00:00:00+00:00</th>\n",
       "      <td>4.56</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.52</td>\n",
       "      <td>4.55</td>\n",
       "      <td>177389100</td>\n",
       "      <td>4.560000</td>\n",
       "      <td>4.570000</td>\n",
       "      <td>4.520000</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>177389100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-11 00:00:00+00:00</th>\n",
       "      <td>4.65</td>\n",
       "      <td>4.66</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.57</td>\n",
       "      <td>330727250</td>\n",
       "      <td>4.650000</td>\n",
       "      <td>4.660000</td>\n",
       "      <td>4.570000</td>\n",
       "      <td>4.570000</td>\n",
       "      <td>330727250</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>420 rows × 12 columns</p>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "execution_count": 260
    }
   ],
   "metadata": {
    "scrolled": true
   }
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "source": [
    "plt.style.use('dark_background')\n",
    "\n",
    "ax = plt.gca()\n",
    "df['adjClose'].plot(figsize=(16,8), rot=90, grid=True, ax=ax)"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='symbol,date'>"
      ]
     },
     "metadata": {},
     "execution_count": 261
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {}
    }
   ],
   "metadata": {
    "scrolled": true
   }
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "source": [
    "df['ma5'] = df['adjClose'].rolling(window=5).mean()\n",
    "df['ma60'] = df['adjClose'].rolling(window=60).mean()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "source": [
    "ax = plt.gca()\n",
    "df['adjClose'].plot(figsize=(16,8), rot=90, grid=True, ax=ax)\n",
    "df['ma5'].plot(ax=ax, color='purple')\n",
    "df['ma60'].plot(ax=ax, color='yellow')\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "source": [
    "\n",
    "buy_list  = []\n",
    "sell_list = []\n",
    "balance_list = []\n",
    "curr_balance = 10000\n",
    "curr_stock = 0\n",
    "\n",
    "for x in range(len(df)):\n",
    "        price = df['adjClose'].iloc[x]\n",
    "        minimum_buy = price * 100\n",
    "\n",
    "        # buy, buy, buy \n",
    "        ma_short = df['ma5'].iloc[x]\n",
    "        ma_long = df['ma100'].iloc[x]\n",
    "        if (ma_short > ma_long) and (curr_balance > minimum_buy):\n",
    "            hands = int(curr_balance / (price * 100))\n",
    "            curr_stock = hands * 100\n",
    "            curr_balance = curr_balance - curr_stock * price\n",
    "            buy_list.append(price)\n",
    "            sell_list.append(float('nan'))\n",
    "            print(\"buy {}\".format(curr_stock) + str(df.index[x]))\n",
    "        elif (ma_short < ma_long) and (curr_stock > 100):\n",
    "            curr_balance = curr_balance + curr_stock * price\n",
    "            print(\"sell {}\".format(curr_stock) + str(df.index[x]))\n",
    "            curr_stock = 0\n",
    "            sell_list.append(price)\n",
    "            buy_list.append(float('nan'))\n",
    "        else:\n",
    "            buy_list.append(float('nan'))\n",
    "            sell_list.append(float('nan'))\n",
    "\n",
    "df['buy'] = buy_list\n",
    "df['sell'] = sell_list\n"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "buy 2100('601398', Timestamp('2020-06-12 00:00:00+0000', tz='UTC'))\n",
      "sell 2100('601398', Timestamp('2020-06-22 00:00:00+0000', tz='UTC'))\n",
      "buy 2000('601398', Timestamp('2020-06-30 00:00:00+0000', tz='UTC'))\n",
      "sell 2000('601398', Timestamp('2020-09-01 00:00:00+0000', tz='UTC'))\n",
      "buy 2000('601398', Timestamp('2020-10-22 00:00:00+0000', tz='UTC'))\n",
      "sell 2000('601398', Timestamp('2020-10-30 00:00:00+0000', tz='UTC'))\n",
      "buy 2000('601398', Timestamp('2020-11-12 00:00:00+0000', tz='UTC'))\n",
      "sell 2000('601398', Timestamp('2020-11-17 00:00:00+0000', tz='UTC'))\n",
      "buy 2000('601398', Timestamp('2020-11-20 00:00:00+0000', tz='UTC'))\n",
      "sell 2000('601398', Timestamp('2020-12-21 00:00:00+0000', tz='UTC'))\n",
      "buy 1900('601398', Timestamp('2021-01-13 00:00:00+0000', tz='UTC'))\n",
      "sell 1900('601398', Timestamp('2021-04-30 00:00:00+0000', tz='UTC'))\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "source": [
    "curr_balance"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "9633.25611973"
      ]
     },
     "metadata": {},
     "execution_count": 254
    }
   ],
   "metadata": {
    "scrolled": true
   }
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "source": [
    "sdf = df.unstack(level=0)\n",
    "\n",
    "\n",
    "ax = plt.gca()\n",
    "\n",
    "sdf['adjClose'].plot(ax=ax, figsize=(20,12), rot=9, grid=True, label='price', color='purple')\n",
    "sdf['ma5'].plot(ax=ax, label='ma5', color='orange', linestyle='-')\n",
    "sdf['ma100'].plot(ax=ax, label='ma100', color='green', linestyle='--')\n",
    "\n",
    "x = pd.to_datetime(sdf.index, format='%Y/%m/%d')\n",
    "# plt.scatter(x, df['buy'].values)\n",
    "ax.scatter(x, y=sdf['buy'].values, label='buy', marker='^', s=70, color='red')\n",
    "ax.scatter(x, y=sdf['sell'].values, label='sell', marker='x', s=70, color='#00ff00')\n",
    "plt.legend(loc=\"upper right\")\n",
    "\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {}
    }
   ],
   "metadata": {
    "scrolled": true
   }
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "source": [
    "ax = plt.gca()\n",
    "ax.scatter(x, y=sdf['buy'].values, label='buy', marker='^', color='red')\n",
    "ax.scatter(x, y=sdf['sell'].values, label='sell', marker='v', color='green')\n",
    "plt.legend(loc=\"upper right\")\n",
    "\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# replicate Data from question in DataFrame\n",
    "v = [[12,34,51], [9,76,12], [12,23,7], [54,4,34]]\n",
    "df1 = pd.DataFrame(v, columns=[\"01/01/2016\",\"01/07/2016\",\"01/14/2017\"], \n",
    "                      index=[\"ABC\", \"XYZ\", \"PQR\", \"DEF\"])\n",
    "print(df1)\n",
    "\n",
    "\n",
    "def scatterplot(x_data, y_data, x_label, y_label, title):\n",
    "    fig, ax = plt.subplots()\n",
    "    ax.scatter(x_data, y_data, s = 30, color = '#539caf', alpha = 0.75)\n",
    "\n",
    "    ax.set_title(title)\n",
    "    ax.set_xlabel(x_label)\n",
    "    ax.set_ylabel(y_label)\n",
    "    fig.autofmt_xdate()\n",
    "\n",
    "#use column headers as x values\n",
    "x = pd.to_datetime(df1.columns, format='%m/%d/%Y')\n",
    "# sum all values from DataFrame along vertical axis\n",
    "y = df1.values.sum(axis=0)    \n",
    "scatterplot(x,y, \"x_label\", \"y_label\", \"title\")\n",
    "\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "     01/01/2016  01/07/2016  01/14/2017\n",
      "ABC          12          34          51\n",
      "XYZ           9          76          12\n",
      "PQR          12          23           7\n",
      "DEF          54           4          34\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "source": [
    "#use column headers as x values\n",
    "x = pd.to_datetime(df.unstack(level=0).index, format='%Y/%m/%d')\n",
    "# sum all values from DataFrame along vertical axis\n",
    "y = df['buy'].values\n",
    "scatterplot(x,y, \"x_label\", \"y_label\", \"title\")\n",
    "x"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "DatetimeIndex(['2020-01-01 00:00:00+00:00', '2020-01-02 00:00:00+00:00',\n",
       "               '2020-01-03 00:00:00+00:00', '2020-01-06 00:00:00+00:00',\n",
       "               '2020-01-07 00:00:00+00:00', '2020-01-08 00:00:00+00:00',\n",
       "               '2020-01-09 00:00:00+00:00', '2020-01-10 00:00:00+00:00',\n",
       "               '2020-01-13 00:00:00+00:00', '2020-01-14 00:00:00+00:00',\n",
       "               ...\n",
       "               '2021-07-28 00:00:00+00:00', '2021-07-29 00:00:00+00:00',\n",
       "               '2021-07-30 00:00:00+00:00', '2021-08-02 00:00:00+00:00',\n",
       "               '2021-08-03 00:00:00+00:00', '2021-08-04 00:00:00+00:00',\n",
       "               '2021-08-05 00:00:00+00:00', '2021-08-06 00:00:00+00:00',\n",
       "               '2021-08-09 00:00:00+00:00', '2021-08-10 00:00:00+00:00'],\n",
       "              dtype='datetime64[ns, UTC]', name='date', length=419, freq=None)"
      ]
     },
     "metadata": {},
     "execution_count": 130
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "source": [
    "df.unstack(level=0).index"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "DatetimeIndex(['2020-01-01 00:00:00+00:00', '2020-01-02 00:00:00+00:00',\n",
       "               '2020-01-03 00:00:00+00:00', '2020-01-06 00:00:00+00:00',\n",
       "               '2020-01-07 00:00:00+00:00', '2020-01-08 00:00:00+00:00',\n",
       "               '2020-01-09 00:00:00+00:00', '2020-01-10 00:00:00+00:00',\n",
       "               '2020-01-13 00:00:00+00:00', '2020-01-14 00:00:00+00:00',\n",
       "               ...\n",
       "               '2021-07-28 00:00:00+00:00', '2021-07-29 00:00:00+00:00',\n",
       "               '2021-07-30 00:00:00+00:00', '2021-08-02 00:00:00+00:00',\n",
       "               '2021-08-03 00:00:00+00:00', '2021-08-04 00:00:00+00:00',\n",
       "               '2021-08-05 00:00:00+00:00', '2021-08-06 00:00:00+00:00',\n",
       "               '2021-08-09 00:00:00+00:00', '2021-08-10 00:00:00+00:00'],\n",
       "              dtype='datetime64[ns, UTC]', name='date', length=419, freq=None)"
      ]
     },
     "metadata": {},
     "execution_count": 126
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "source": [
    "df.to_csv(\"save.csv\")"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "source": [
    "sdf = df.unstack(level=0)\n",
    "sdf"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                           close   high    low   open     volume  adjClose  \\\n",
       "symbol                    601398 601398 601398 601398     601398    601398   \n",
       "date                                                                         \n",
       "2020-01-01 00:00:00+00:00   5.88   5.88   5.88   5.88          0  5.299197   \n",
       "2020-01-02 00:00:00+00:00   5.97   6.03   5.91   5.92  234949400  5.380307   \n",
       "2020-01-03 00:00:00+00:00   5.99   6.02   5.96   5.97  152213050  5.398332   \n",
       "2020-01-06 00:00:00+00:00   5.97   6.05   5.95   5.96  226509710  5.380307   \n",
       "2020-01-07 00:00:00+00:00   6.01   6.04   5.98   5.98  116804350  5.416356   \n",
       "...                          ...    ...    ...    ...        ...       ...   \n",
       "2021-08-04 00:00:00+00:00   4.55   4.58   4.54   4.58  148301900  4.550000   \n",
       "2021-08-05 00:00:00+00:00   4.54   4.57   4.53   4.55  109747160  4.540000   \n",
       "2021-08-06 00:00:00+00:00   4.53   4.55   4.51   4.55  158732840  4.530000   \n",
       "2021-08-09 00:00:00+00:00   4.55   4.57   4.51   4.52  192560060  4.550000   \n",
       "2021-08-10 00:00:00+00:00   4.56   4.57   4.52   4.55  177389100  4.560000   \n",
       "\n",
       "                            adjHigh    adjLow   adjOpen  adjVolume divCash  \\\n",
       "symbol                       601398    601398    601398     601398  601398   \n",
       "date                                                                         \n",
       "2020-01-01 00:00:00+00:00  5.299197  5.299197  5.299197          0     0.0   \n",
       "2020-01-02 00:00:00+00:00  5.434381  5.326234  5.335246  234949400     0.0   \n",
       "2020-01-03 00:00:00+00:00  5.425369  5.371295  5.380307  152213050     0.0   \n",
       "2020-01-06 00:00:00+00:00  5.452405  5.362283  5.371295  226509710     0.0   \n",
       "2020-01-07 00:00:00+00:00  5.443393  5.389320  5.389320  116804350     0.0   \n",
       "...                             ...       ...       ...        ...     ...   \n",
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       "                                  close  high   low  open     volume  \\\n",
       "symbol date                                                            \n",
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       "\n",
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       "symbol date                                                                \n",
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       "\n",
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       "symbol date                                                                 \n",
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       "      <th>2020-01-02 00:00:00+00:00</th>\n",
       "      <td>5.97</td>\n",
       "      <td>6.03</td>\n",
       "      <td>5.91</td>\n",
       "      <td>5.92</td>\n",
       "      <td>234949400</td>\n",
       "      <td>5.380307</td>\n",
       "      <td>5.434381</td>\n",
       "      <td>5.326234</td>\n",
       "      <td>5.335246</td>\n",
       "      <td>234949400</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03 00:00:00+00:00</th>\n",
       "      <td>5.99</td>\n",
       "      <td>6.02</td>\n",
       "      <td>5.96</td>\n",
       "      <td>5.97</td>\n",
       "      <td>152213050</td>\n",
       "      <td>5.398332</td>\n",
       "      <td>5.425369</td>\n",
       "      <td>5.371295</td>\n",
       "      <td>5.380307</td>\n",
       "      <td>152213050</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-06 00:00:00+00:00</th>\n",
       "      <td>5.97</td>\n",
       "      <td>6.05</td>\n",
       "      <td>5.95</td>\n",
       "      <td>5.96</td>\n",
       "      <td>226509710</td>\n",
       "      <td>5.380307</td>\n",
       "      <td>5.452405</td>\n",
       "      <td>5.362283</td>\n",
       "      <td>5.371295</td>\n",
       "      <td>226509710</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-07 00:00:00+00:00</th>\n",
       "      <td>6.01</td>\n",
       "      <td>6.04</td>\n",
       "      <td>5.98</td>\n",
       "      <td>5.98</td>\n",
       "      <td>116804350</td>\n",
       "      <td>5.416356</td>\n",
       "      <td>5.443393</td>\n",
       "      <td>5.389320</td>\n",
       "      <td>5.389320</td>\n",
       "      <td>116804350</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.3749</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-04 00:00:00+00:00</th>\n",
       "      <td>4.55</td>\n",
       "      <td>4.58</td>\n",
       "      <td>4.54</td>\n",
       "      <td>4.58</td>\n",
       "      <td>148301900</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>4.580000</td>\n",
       "      <td>4.540000</td>\n",
       "      <td>4.580000</td>\n",
       "      <td>148301900</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.5880</td>\n",
       "      <td>4.946124</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-05 00:00:00+00:00</th>\n",
       "      <td>4.54</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.53</td>\n",
       "      <td>4.55</td>\n",
       "      <td>109747160</td>\n",
       "      <td>4.540000</td>\n",
       "      <td>4.570000</td>\n",
       "      <td>4.530000</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>109747160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.5720</td>\n",
       "      <td>4.939084</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-06 00:00:00+00:00</th>\n",
       "      <td>4.53</td>\n",
       "      <td>4.55</td>\n",
       "      <td>4.51</td>\n",
       "      <td>4.55</td>\n",
       "      <td>158732840</td>\n",
       "      <td>4.530000</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>4.510000</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>158732840</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.5600</td>\n",
       "      <td>4.932419</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-09 00:00:00+00:00</th>\n",
       "      <td>4.55</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.51</td>\n",
       "      <td>4.52</td>\n",
       "      <td>192560060</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>4.570000</td>\n",
       "      <td>4.510000</td>\n",
       "      <td>4.520000</td>\n",
       "      <td>192560060</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.5500</td>\n",
       "      <td>4.927091</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-10 00:00:00+00:00</th>\n",
       "      <td>4.56</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.52</td>\n",
       "      <td>4.55</td>\n",
       "      <td>177389100</td>\n",
       "      <td>4.560000</td>\n",
       "      <td>4.570000</td>\n",
       "      <td>4.520000</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>177389100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.5460</td>\n",
       "      <td>4.921295</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>419 rows × 16 columns</p>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "execution_count": 211
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "source": [
    "sample = {'symbol': [601398, 601398, 601398, 601398], 'date': ['2020-01-01 00:00:00+00:00', '2020-01-02 00:00:00+00:00', '2020-01-03 00:00:00+00:00', '2020-01-06 00:00:00+00:00'], 'close': [5.88, 5.97, 5.99, 5.97], 'high': [5.88, 6.03, 6.02, 6.05], 'low': [5.88, 5.91, 5.96, 5.95], 'open': [5.88, 5.92, 5.97, 5.96], 'volume': [0, 234949400, 152213050, 226509710], 'adjClose': [5.2991971571, 5.3803073177, 5.3983317978, 5.3803073177], 'adjHigh': [5.2991971571, 5.4343807581, 5.425368518, 5.4524052382], 'adjLow': [5.2991971571, 5.3262338773, 5.3712950777, 5.3622828376], 'adjOpen': [5.2991971571, 5.3352461174, 5.3803073177, 5.3712950777], 'adjVolume': [0, 234949400, 152213050, 226509710], 'divCash': [0.0, 0.0, 0.0, 0.0], 'splitFactor': [1.0, 1.0, 1.0, 1.0], 'ma5': [np.nan, np.nan, np.nan, np.nan], 'ma100': [np.nan, np.nan, np.nan, np.nan], 'buy': [np.nan, np.nan, np.nan, np.nan], 'sell': [np.nan, np.nan, np.nan, np.nan]}\n",
    "df = pd.DataFrame(sample)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "source": [
    "df"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                                  close  high   low  open     volume  \\\n",
       "symbol date                                                            \n",
       "601398 2020-01-01 00:00:00+00:00   5.88  5.88  5.88  5.88          0   \n",
       "       2020-01-02 00:00:00+00:00   5.97  6.03  5.91  5.92  234949400   \n",
       "       2020-01-03 00:00:00+00:00   5.99  6.02  5.96  5.97  152213050   \n",
       "       2020-01-06 00:00:00+00:00   5.97  6.05  5.95  5.96  226509710   \n",
       "       2020-01-07 00:00:00+00:00   6.01  6.04  5.98  5.98  116804350   \n",
       "...                                 ...   ...   ...   ...        ...   \n",
       "       2021-08-04 00:00:00+00:00   4.55  4.58  4.54  4.58  148301900   \n",
       "       2021-08-05 00:00:00+00:00   4.54  4.57  4.53  4.55  109747160   \n",
       "       2021-08-06 00:00:00+00:00   4.53  4.55  4.51  4.55  158732840   \n",
       "       2021-08-09 00:00:00+00:00   4.55  4.57  4.51  4.52  192560060   \n",
       "       2021-08-10 00:00:00+00:00   4.56  4.57  4.52  4.55  177389100   \n",
       "\n",
       "                                  adjClose   adjHigh    adjLow   adjOpen  \\\n",
       "symbol date                                                                \n",
       "601398 2020-01-01 00:00:00+00:00  5.299197  5.299197  5.299197  5.299197   \n",
       "       2020-01-02 00:00:00+00:00  5.380307  5.434381  5.326234  5.335246   \n",
       "       2020-01-03 00:00:00+00:00  5.398332  5.425369  5.371295  5.380307   \n",
       "       2020-01-06 00:00:00+00:00  5.380307  5.452405  5.362283  5.371295   \n",
       "       2020-01-07 00:00:00+00:00  5.416356  5.443393  5.389320  5.389320   \n",
       "...                                    ...       ...       ...       ...   \n",
       "       2021-08-04 00:00:00+00:00  4.550000  4.580000  4.540000  4.580000   \n",
       "       2021-08-05 00:00:00+00:00  4.540000  4.570000  4.530000  4.550000   \n",
       "       2021-08-06 00:00:00+00:00  4.530000  4.550000  4.510000  4.550000   \n",
       "       2021-08-09 00:00:00+00:00  4.550000  4.570000  4.510000  4.520000   \n",
       "       2021-08-10 00:00:00+00:00  4.560000  4.570000  4.520000  4.550000   \n",
       "\n",
       "                                  adjVolume  divCash  splitFactor  \n",
       "symbol date                                                        \n",
       "601398 2020-01-01 00:00:00+00:00          0      0.0          1.0  \n",
       "       2020-01-02 00:00:00+00:00  234949400      0.0          1.0  \n",
       "       2020-01-03 00:00:00+00:00  152213050      0.0          1.0  \n",
       "       2020-01-06 00:00:00+00:00  226509710      0.0          1.0  \n",
       "       2020-01-07 00:00:00+00:00  116804350      0.0          1.0  \n",
       "...                                     ...      ...          ...  \n",
       "       2021-08-04 00:00:00+00:00  148301900      0.0          1.0  \n",
       "       2021-08-05 00:00:00+00:00  109747160      0.0          1.0  \n",
       "       2021-08-06 00:00:00+00:00  158732840      0.0          1.0  \n",
       "       2021-08-09 00:00:00+00:00  192560060      0.0          1.0  \n",
       "       2021-08-10 00:00:00+00:00  177389100      0.0          1.0  \n",
       "\n",
       "[419 rows x 12 columns]"
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       "      <th></th>\n",
       "      <th>close</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"11\" valign=\"top\">601398</th>\n",
       "      <th>2020-01-01 00:00:00+00:00</th>\n",
       "      <td>5.88</td>\n",
       "      <td>5.88</td>\n",
       "      <td>5.88</td>\n",
       "      <td>5.88</td>\n",
       "      <td>0</td>\n",
       "      <td>5.299197</td>\n",
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       "    <tr>\n",
       "      <th>2020-01-02 00:00:00+00:00</th>\n",
       "      <td>5.97</td>\n",
       "      <td>6.03</td>\n",
       "      <td>5.91</td>\n",
       "      <td>5.92</td>\n",
       "      <td>234949400</td>\n",
       "      <td>5.380307</td>\n",
       "      <td>5.434381</td>\n",
       "      <td>5.326234</td>\n",
       "      <td>5.335246</td>\n",
       "      <td>234949400</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03 00:00:00+00:00</th>\n",
       "      <td>5.99</td>\n",
       "      <td>6.02</td>\n",
       "      <td>5.96</td>\n",
       "      <td>5.97</td>\n",
       "      <td>152213050</td>\n",
       "      <td>5.398332</td>\n",
       "      <td>5.425369</td>\n",
       "      <td>5.371295</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2020-01-06 00:00:00+00:00</th>\n",
       "      <td>5.97</td>\n",
       "      <td>6.05</td>\n",
       "      <td>5.95</td>\n",
       "      <td>5.96</td>\n",
       "      <td>226509710</td>\n",
       "      <td>5.380307</td>\n",
       "      <td>5.452405</td>\n",
       "      <td>5.362283</td>\n",
       "      <td>5.371295</td>\n",
       "      <td>226509710</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-07 00:00:00+00:00</th>\n",
       "      <td>6.01</td>\n",
       "      <td>6.04</td>\n",
       "      <td>5.98</td>\n",
       "      <td>5.98</td>\n",
       "      <td>116804350</td>\n",
       "      <td>5.416356</td>\n",
       "      <td>5.443393</td>\n",
       "      <td>5.389320</td>\n",
       "      <td>5.389320</td>\n",
       "      <td>116804350</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-04 00:00:00+00:00</th>\n",
       "      <td>4.55</td>\n",
       "      <td>4.58</td>\n",
       "      <td>4.54</td>\n",
       "      <td>4.58</td>\n",
       "      <td>148301900</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>4.580000</td>\n",
       "      <td>4.540000</td>\n",
       "      <td>4.580000</td>\n",
       "      <td>148301900</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>2021-08-05 00:00:00+00:00</th>\n",
       "      <td>4.54</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.53</td>\n",
       "      <td>4.55</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-06 00:00:00+00:00</th>\n",
       "      <td>4.53</td>\n",
       "      <td>4.55</td>\n",
       "      <td>4.51</td>\n",
       "      <td>4.55</td>\n",
       "      <td>158732840</td>\n",
       "      <td>4.530000</td>\n",
       "      <td>4.550000</td>\n",
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       "      <td>4.550000</td>\n",
       "      <td>158732840</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>2021-08-09 00:00:00+00:00</th>\n",
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       "      <td>4.57</td>\n",
       "      <td>4.51</td>\n",
       "      <td>4.52</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>2021-08-10 00:00:00+00:00</th>\n",
       "      <td>4.56</td>\n",
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       "      <td>4.52</td>\n",
       "      <td>4.55</td>\n",
       "      <td>177389100</td>\n",
       "      <td>4.560000</td>\n",
       "      <td>4.570000</td>\n",
       "      <td>4.520000</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>177389100</td>\n",
       "      <td>0.0</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>419 rows × 12 columns</p>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "execution_count": 220
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "source": [
    "df1 = pd.read_csv('save.csv')"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "source": [
    "df"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
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       "                                  close  high   low  open     volume  \\\n",
       "symbol date                                                            \n",
       "601398 2020-01-01 00:00:00+00:00   5.88  5.88  5.88  5.88          0   \n",
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       "       2020-01-07 00:00:00+00:00   6.01  6.04  5.98  5.98  116804350   \n",
       "...                                 ...   ...   ...   ...        ...   \n",
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       "       2021-08-10 00:00:00+00:00   4.56  4.57  4.52  4.55  177389100   \n",
       "\n",
       "                                  adjClose   adjHigh    adjLow   adjOpen  \\\n",
       "symbol date                                                                \n",
       "601398 2020-01-01 00:00:00+00:00  5.299197  5.299197  5.299197  5.299197   \n",
       "       2020-01-02 00:00:00+00:00  5.380307  5.434381  5.326234  5.335246   \n",
       "       2020-01-03 00:00:00+00:00  5.398332  5.425369  5.371295  5.380307   \n",
       "       2020-01-06 00:00:00+00:00  5.380307  5.452405  5.362283  5.371295   \n",
       "       2020-01-07 00:00:00+00:00  5.416356  5.443393  5.389320  5.389320   \n",
       "...                                    ...       ...       ...       ...   \n",
       "       2021-08-04 00:00:00+00:00  4.550000  4.580000  4.540000  4.580000   \n",
       "       2021-08-05 00:00:00+00:00  4.540000  4.570000  4.530000  4.550000   \n",
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       "       2021-08-09 00:00:00+00:00  4.550000  4.570000  4.510000  4.520000   \n",
       "       2021-08-10 00:00:00+00:00  4.560000  4.570000  4.520000  4.550000   \n",
       "\n",
       "                                  adjVolume  divCash  splitFactor  \n",
       "symbol date                                                        \n",
       "601398 2020-01-01 00:00:00+00:00          0      0.0          1.0  \n",
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       "      <th>2020-01-03 00:00:00+00:00</th>\n",
       "      <td>5.99</td>\n",
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       "      <th>2020-01-07 00:00:00+00:00</th>\n",
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      ]
     },
     "metadata": {},
     "execution_count": 235
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   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "source": [
    "df.reset_index(level=0, inplace=True)\n",
    "df.index = df.index.date\n"
   ],
   "outputs": [],
   "metadata": {
    "scrolled": true
   }
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "source": [
    "sdf"
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    {
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       "date                                                                   \n",
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       "2021-08-10 00:00:00+00:00         1.0  4.5460  4.921295    NaN    NaN  \n",
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       "    <tr>\n",
       "      <th>2020-01-01 00:00:00+00:00</th>\n",
       "      <td>5.88</td>\n",
       "      <td>5.88</td>\n",
       "      <td>5.88</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2020-01-02 00:00:00+00:00</th>\n",
       "      <td>5.97</td>\n",
       "      <td>6.03</td>\n",
       "      <td>5.91</td>\n",
       "      <td>5.92</td>\n",
       "      <td>234949400</td>\n",
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       "      <td>5.434381</td>\n",
       "      <td>5.326234</td>\n",
       "      <td>5.335246</td>\n",
       "      <td>234949400</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2020-01-03 00:00:00+00:00</th>\n",
       "      <td>5.99</td>\n",
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       "      <td>5.96</td>\n",
       "      <td>5.97</td>\n",
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       "      <td>5.398332</td>\n",
       "      <td>5.425369</td>\n",
       "      <td>5.371295</td>\n",
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       "      <td>152213050</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2020-01-06 00:00:00+00:00</th>\n",
       "      <td>5.97</td>\n",
       "      <td>6.05</td>\n",
       "      <td>5.95</td>\n",
       "      <td>5.96</td>\n",
       "      <td>226509710</td>\n",
       "      <td>5.380307</td>\n",
       "      <td>5.452405</td>\n",
       "      <td>5.362283</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2020-01-07 00:00:00+00:00</th>\n",
       "      <td>6.01</td>\n",
       "      <td>6.04</td>\n",
       "      <td>5.98</td>\n",
       "      <td>5.98</td>\n",
       "      <td>116804350</td>\n",
       "      <td>5.416356</td>\n",
       "      <td>5.443393</td>\n",
       "      <td>5.389320</td>\n",
       "      <td>5.389320</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>5.3749</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2021-08-04 00:00:00+00:00</th>\n",
       "      <td>4.55</td>\n",
       "      <td>4.58</td>\n",
       "      <td>4.54</td>\n",
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       "      <td>4.5880</td>\n",
       "      <td>4.946124</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2021-08-05 00:00:00+00:00</th>\n",
       "      <td>4.54</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.53</td>\n",
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       "      <td>109747160</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>4.5720</td>\n",
       "      <td>4.939084</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2021-08-06 00:00:00+00:00</th>\n",
       "      <td>4.53</td>\n",
       "      <td>4.55</td>\n",
       "      <td>4.51</td>\n",
       "      <td>4.55</td>\n",
       "      <td>158732840</td>\n",
       "      <td>4.530000</td>\n",
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       "      <td>158732840</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>4.5600</td>\n",
       "      <td>4.932419</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-08-09 00:00:00+00:00</th>\n",
       "      <td>4.55</td>\n",
       "      <td>4.57</td>\n",
       "      <td>4.51</td>\n",
       "      <td>4.52</td>\n",
       "      <td>192560060</td>\n",
       "      <td>4.550000</td>\n",
       "      <td>4.570000</td>\n",
       "      <td>4.510000</td>\n",
       "      <td>4.520000</td>\n",
       "      <td>192560060</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.5500</td>\n",
       "      <td>4.927091</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2021-08-10 00:00:00+00:00</th>\n",
       "      <td>4.56</td>\n",
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       "      <td>4.921295</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>419 rows × 16 columns</p>\n",
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     "execution_count": 256
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       "            symbol  close  high   low  open     volume  adjClose   adjHigh  \\\n",
       "2020-01-01  601398   5.88  5.88  5.88  5.88          0  5.299197  5.299197   \n",
       "2020-01-02  601398   5.97  6.03  5.91  5.92  234949400  5.380307  5.434381   \n",
       "2020-01-03  601398   5.99  6.02  5.96  5.97  152213050  5.398332  5.425369   \n",
       "2020-01-06  601398   5.97  6.05  5.95  5.96  226509710  5.380307  5.452405   \n",
       "2020-01-07  601398   6.01  6.04  5.98  5.98  116804350  5.416356  5.443393   \n",
       "...            ...    ...   ...   ...   ...        ...       ...       ...   \n",
       "2021-08-04  601398   4.55  4.58  4.54  4.58  148301900  4.550000  4.580000   \n",
       "2021-08-05  601398   4.54  4.57  4.53  4.55  109747160  4.540000  4.570000   \n",
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       "2021-08-09  601398   4.55  4.57  4.51  4.52  192560060  4.550000  4.570000   \n",
       "2021-08-10  601398   4.56  4.57  4.52  4.55  177389100  4.560000  4.570000   \n",
       "\n",
       "              adjLow   adjOpen  adjVolume  divCash  splitFactor  \n",
       "2020-01-01  5.299197  5.299197          0      0.0          1.0  \n",
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       "2020-01-06  5.362283  5.371295  226509710      0.0          1.0  \n",
       "2020-01-07  5.389320  5.389320  116804350      0.0          1.0  \n",
       "...              ...       ...        ...      ...          ...  \n",
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       "2021-08-05  4.530000  4.550000  109747160      0.0          1.0  \n",
       "2021-08-06  4.510000  4.550000  158732840      0.0          1.0  \n",
       "2021-08-09  4.510000  4.520000  192560060      0.0          1.0  \n",
       "2021-08-10  4.520000  4.550000  177389100      0.0          1.0  \n",
       "\n",
       "[419 rows x 13 columns]"
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       "      <th>2020-01-01</th>\n",
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       "      <th>2020-01-03</th>\n",
       "      <td>601398</td>\n",
       "      <td>5.99</td>\n",
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       "      <td>5.96</td>\n",
       "      <td>5.97</td>\n",
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       "      <th>2020-01-06</th>\n",
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       "      <th>2020-01-07</th>\n",
       "      <td>601398</td>\n",
       "      <td>6.01</td>\n",
       "      <td>6.04</td>\n",
       "      <td>5.98</td>\n",
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       "      <th>2021-08-04</th>\n",
       "      <td>601398</td>\n",
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       "      <th>2021-08-05</th>\n",
       "      <td>601398</td>\n",
       "      <td>4.54</td>\n",
       "      <td>4.57</td>\n",
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       "      <th>2021-08-06</th>\n",
       "      <td>601398</td>\n",
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       "      <th>2021-08-09</th>\n",
       "      <td>601398</td>\n",
       "      <td>4.55</td>\n",
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